Assessing the potential of unoccupied aerial vehicles and deep learning to survey wild turkey populations.

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Title: Assessing the potential of unoccupied aerial vehicles and deep learning to survey wild turkey populations.
Authors: Schumacher, Allison R.1,2 (AUTHOR), Toubal, Imad Eddine3,4 (AUTHOR), Rahmon, Gani3 (AUTHOR), Krock, Tim3 (AUTHOR), Hardin, Jason B.5 (AUTHOR), Palaniappan, Kannappan3 (AUTHOR), Byrne, Michael E.1 (AUTHOR) byrneme@missouri.edu
Source: Wildlife Society Bulletin (2328-5540). Dec2025 Supplement 1, Vol. 49, p1-23. 23p.
Database: Environment Complete
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DbLabel: Environment Complete
An: 189877339
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22Wildlife+Society+Bulletin+%282328-5540%29%22">Wildlife Society Bulletin (2328-5540)</searchLink>. Dec2025 Supplement 1, Vol. 49, p1-23. 23p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=189877339
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        Value: 10.1002/wsb.1639
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        Text: English
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      – TitleFull: Assessing the potential of unoccupied aerial vehicles and deep learning to survey wild turkey populations.
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            NameFull: Toubal, Imad Eddine
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              M: 12
              Text: Dec2025 Supplement 1
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              Y: 2025
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